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DBMS > Apache Druid vs. Dgraph vs. Netezza vs. Oracle NoSQL

System Properties Comparison Apache Druid vs. Dgraph vs. Netezza vs. Oracle NoSQL

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDgraph  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOracle NoSQL  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed and scalable native Graph DBMSData warehouse and analytics appliance part of IBM PureSystemsA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMSRelational DBMSDocument store
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Websitedruid.apache.orgdgraph.iowww.ibm.com/­products/­netezzawww.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationdruid.apache.org/­docs/­latest/­designdgraph.io/­docsdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperApache Software Foundation and contributorsDgraph Labs, Inc.IBMOracle
Initial release2012201620002011
Current release29.0.1, April 202423.3, December 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0commercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJava
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
Linux infoincluded in applianceLinux
Solaris SPARC/x86
Data schemeyes infoschema-less columns are supportedschema-freeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateyesyesyesoptional
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingnoyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
RESTful HTTP/JSON API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSynchronous replication via RaftSource-replica replicationElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDconfigurable infoACID within a storage node (=shard)
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infooff heap cache
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno infoPlanned for future releasesUsers with fine-grained authorization conceptAccess rights for users and roles

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More resources
Apache DruidDgraphNetezza infoAlso called PureData System for Analytics by IBMOracle NoSQL
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